Operational Research

This book addresses complex real-world problems with recent techniques. It comprises selected papers from the XX. congress APDIO held in Tomar, Portugal, in July 2019. The subject of the book is the application of operational research methodologies and techniques to address complex real problems. Readers will find interesting results and applications of operational research methods and techniques in the wide variety of the addressed problems. Of particular interest are the applications of, among others, linear, nonlinear and mixed-integer programing, multiobjective optimization, metaheuristics and hybrid heuristics, multicriteria decision analysis, data envelopment analysis, clustering techniques and decision support systems, in different areas such as supply chain management, scheduling problems, production management, logistics, energy, telecommunications and finance and health. In most chapters of the book, the described problems, methods and methodologies will be illustrated by auxiliary figures and tables, as well as algorithms. The main benefit of this book is to present the latest trends in operational research methods and methodologies by top Portuguese and international researchers. The book will present a wide scope of complex real-world applications addressed by recent theoretical techniques that aim to narrow the gap between academic researchers and practitioners.

Contenu

Chapter 1 - Searching for a solution method for the Smart Waste Collection Routing Problem, Ana Raquel Aguiar, Carolina Soares de Morais, (*)Tânia Rodrigues Pereira Ramos and Ana Paula Barbosa-Póvoa

Chapter 2 - A multi-objective and multi-period model to the design and operation of a hydrogen supply chain: an applied case in Portugal, Diego Câmara, Tânia Pinto-Varela and Ana Paula Barbosa-Póvoa

Chapter 3 - The E-constrained method to solve a bi-objective problem of sustainable cultivation, Angelo Aliano Filho and Helenice Florentino Silva

Chapter 4 - In-house logistics operations enhancement in the automobile industry using simulation, Rodrigo Macedo, Fábio Coelho, (*)Susana Relvas and Ana Barbosa-Póvoa

Chapter 5 - The rough interval shortest path problem, Ali Moghanni and Marta Pascoal

Chapter 6 - Reinforcement Learning for Robust Optimization: an Application in Kidney Exchange Programs, Tiago Monteiro, João Pedro Pedroso, Ana Viana and Xenia Klimentova

Chapter 7 - Facing dynamic demand for surgeries in a Portuguese case study, Mariana Oliveira and Inês Marques

Chapter 8 - Adaptive Sequence-based Heuristic for Two-Dimensional Non-Guillotine Packing Problems, Óscar Oliveira, Dorabela Gamboa and Elsa Silva

Chapter 9 - A CVRP Model for an In-plant Milk Run System, M. Teresa Pereira, Cristina Lopes, Luís Pinto Ferreira and Silvana Oliveira

Chapter 10 - Merging Resilience and Sustainability in Supply Chain Design, João Pires Ribeiro, Bruna Mota and Ana Barbosa-Póvoa Chapter 11 - Analysis and Optimisation of a Production Line Using Discrete Simulation, Fabiane K. Setti, Carla A. S. Geraldes, João P. Almeida and Marcelo G. Trentin

Chapter 12 - Design and Planning of Green Supply Chains with Risk Concerns, Cátia da Silva, Ana Carvalho and Ana Barbosa-Póvoa

Chapter 13 - Benchmarking Smart Grid Research & Development engagement by European Distribution System Operators, Micael Simões, Rogério Rocha and Ana Camanho Chapter 14 - Towards an integrated decision-support framework for the new generation of manufacturing systems, Miguel Vieira, Fábio Coelho, Cátia da Silva, Bruna Mota, Joana Guapo, Rodrigo Macedo, Bruno Gonçalves, Samuel Moniz, Tânia Pinto-Varela, Ana Carvalho, Susana Relvas and Ana P. Barbosa-Póvoa